摘要
本文以知识溢出的地方化(localization)特性为前提条件,从空间视点切入,首次运用负二项回归模型实证考察了中国制造业区域集聚对技术创新的影响。通过最大似然估计得出的结果表明,制造业区域集聚之技术创新效应非常显著。这一结论也得到了对高创新行业和高集聚行业拓展回归分析的支持。研究还显示,FDI对高创新行业的技术创新作用并不显著,反而出现了内资企业向外资企业逆向技术扩散的可能。
Based on the localization character of knowledge spillover, this paper examines the impact of Chinese industrial agglomeration on innovation from the spatial view by using the negative binomial regression model. The empirical evidence through the maximum likelihood estimation shows that industrial agglomeration＇s innovation effect is significant, which has also been supported by the extended regressions on the high-innovation industry and the high-agglomeration industry. In addition, FDI has no impact on the innovation of the high-innovation industry and the domestic firms seem to promote the innovation of the foreign firms.
出处
《数理统计与管理》
CSSCI
北大核心
2012年第1期105-111,共7页
Journal of Applied Statistics and Management
基金
国家社科基金重点项目(09AZD015)
广东高校育苗工程(WYM10077)
暨南大学科研培育与创新基金项目(10JYB2016)
暨南大学"211工程"项目资助
广东省高校社科重大攻关项目(10ZGXM79005)
关键词
制造业区域集聚
技术创新
知识溢出
负二项模型
industrial agglomeration, innovation, knowledge spillover, negative binomial model
